IEEE Trans Neural Syst Rehabil Eng. 2019 Mar;27(3):514-522. doi: 10.1109/TNSRE.2019.2896904. Epub 2019 Feb 1.
Wheelchair manoeuvring has received little attention in the literature despite its importance in mobility and performing activities of daily living and its role in developing secondary injuries for wheelchair users. The focus in this paper was technology development with iterative and proof-of-concept testing. Three versions of a wheelchair simulator that were designed and developed for simulating curvilinear wheelchair propulsion in virtual reality were tested for their validity and reliability. The wheelchair simulators comprise a sophisticated wheelchair ergometer in an immersive virtual reality environment and are developed for manual wheelchair propulsion. These simulators all replicate inertia in translation, in addition to taking three approaches for simulating turning. The three systems were then tested and compared with the real world to see how reliable and valid they are; 15 healthy participants were recruited to perform the Illinois Agility Test (IAT) in two sessions that were at least one week apart. The intraclass correlation coefficient and the Pearson correlation coefficient were found for 16 variables to find the test-retest reliability and convergent construct validity of the systems, respectively. Overall, the three systems showed good validity and reliability with the VR_system 2 (mechanical compensation for rotational inertia) having the best scores and the VR_system 3 (software compensation for rotational inertia) having the lowest scores. Also, it was observed that performing IAT in the real world needed fewer pushes and often accompanied more negative pushes. Participants also used longer strokes in the real world compared to virtual reality environment.
尽管轮椅操纵对于行动能力和日常生活活动以及对轮椅使用者继发损伤的发展都很重要,但在文献中却很少受到关注。本文的重点是技术开发和迭代以及概念验证测试。为了在虚拟现实中模拟曲线形轮椅推进,设计和开发了三种轮椅模拟器,对它们的有效性和可靠性进行了测试。轮椅模拟器包括一个复杂的轮椅测力计和沉浸式虚拟现实环境,专为手动轮椅推进而开发。除了采用三种方法模拟转弯外,这三个系统还模拟了平移中的惯性。然后对这三个系统进行了测试并与现实世界进行了比较,以了解它们的可靠性和有效性;招募了 15 名健康参与者,让他们在至少相隔一周的两个时段内进行伊利诺伊州敏捷测试(IAT)。为了分别找到系统的测试-重测可靠性和收敛结构有效性,找到了 16 个变量的组内相关系数和皮尔逊相关系数。总体而言,这三个系统的有效性和可靠性都很好,其中 VR_system 2(旋转惯性的机械补偿)得分最高,而 VR_system 3(旋转惯性的软件补偿)得分最低。此外,还观察到在现实世界中进行 IAT 需要的推动次数更少,并且经常伴随着更多的负推动。与虚拟现实环境相比,参与者在现实世界中也使用了更长的行程。